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中文摘要：
在指数平滑算法的基础上，结合模糊理论提出了一种基于模糊理论的智能指数平滑行程时间预测算法。该算法依据指数平滑法的预测误差构造模糊控制器来自适应控制平滑系数，从而自适应修正下一时期的预测值，提高行程时间的预测精度和智能化水平。最后通过实验验证了该算法的可行性、有效性。
英文摘要：
On the basis of the exponential smoothing algorithm and combining with the fuzzy theory, the paper puts forward the intelligent index level and smooth travel time prediction algorithm based on the theory. The algorithm depends on the prediction error of index smooth to build the fuzzy controller to adaptively control the smoothing coefficient in an effort to adaptively adjust the prediction value of next period and improve the precise and intelligent level of travel time. Finally, it verifies the feasibility and effectiveness of the algorithm through the experiment is shown, by calculations and analysis, that this way is feasible and effective.
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